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In this beginner-level course, you will learn how to make confident, data-driven SEO decisions using AI-powered insights. Through guided videos, hands-on activities, and reflective discussions, you will explore how to analyze marketing datasets, visualize key relationships, and interpret A/B test results with simple statistical tools. You will begin by identifying meaningful correlations among SEO metrics such as impressions, click-through rate, and conversions. Then you will evaluate meta description tests using a chi-square approach to decide which version performs better with 95 percent confidence. Along the way, you will strengthen your ability to translate data findings into clear, business-ready recommendations that resonate with non-technical audiences. By the end of this short course, you will know how to turn AI-driven SEO data into actionable insights that boost engagement, improve performance, and inform smarter marketing strategies.
In this beginner-level course, you will learn how to make confident, data-driven SEO decisions using AI-powered insights. Through guided videos, hands-on activities, and reflective discussions, you will explore how to analyze marketing datasets, visualize key relationships, and interpret A/B test results with simple statistical tools. You will begin by identifying meaningful correlations among SEO metrics such as impressions, click-through rate, and conversions. Then you will evaluate meta description tests using a chi-square approach to decide which version performs better with 95 percent confidence. Along the way, you will strengthen your ability to translate data findings into clear, business-ready recommendations that resonate with non-technical audiences. By the end of this short course, you will know how to turn AI-driven SEO data into actionable insights that boost engagement, improve performance, and inform smarter marketing strategies.
Inclus
6 vidéos2 lectures3 devoirs
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6 vidéos•Total 23 minutes
Introduction and Welcome•3 minutes
Why Visualization Matters in Data-Driven SEO•4 minutes
Spot the Signal: How to Read Correlations in Marketing Data•4 minutes
What Makes an A/B Test Reliable?•5 minutes
Walkthrough: Comparing Meta Descriptions in Excel•5 minutes
Next Steps: Apply What You Have Learned•2 minutes
2 lectures•Total 18 minutes
From Clicks to Revenue: Understanding Basic SEO Metrics•10 minutes
From Observations to Evidence: Chi-Square Testing Made Simple•8 minutes
3 devoirs•Total 70 minutes
Hands on Activity: Plot Your Impact: Explore Tableau Public Screenshot•25 minutes
HOL: Run the Test and Report the Winner•25 minutes
Graded Quiz: SEO Data Analyst Challenge•20 minutes
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